Nannan Qin

According to our database, Nannan Qin authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Survey of Point Cloud Completion.

Zhiyun Zhuang, Zhiyang Zhi, Ting Han, Yiping Chen, Jun Chen, Cheng Wang, Ming Cheng, Xinchang Zhang, Nannan Qin, Lingfei Ma

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey.

Nannan Qin, Weikai Tan, Haiyan Guan, Lanying Wang, Lingfei Ma, Pengjie Tao, Sarah Fatholahi, Xiangyun Hu, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, December, 2023

Deep Ground Filtering of Large-Scale ALS Point Clouds via Iterative Sequential Ground Prediction.

Hengming Dai, Xiangyun Hu, Zhen Shu, Nannan Qin, Jinming Zhang

Remote. Sens., February, 2023

2021

Semantic Segmentation of UAV Lidar Point Clouds of a Stack Interchange with Deep Neural Networks.

Weikai Tan, Dedong Zhang, Lingfei Ma, Lanying Wang, Nannan Qin, Yiping Chen, Jonathan Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World.

Nannan Qin, Weikai Tan, Lingfei Ma, Dedong Zhang, Jonathan Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Semantic Labeling of ALS Point Cloud via Learning Voxel and Pixel Representations.

Nannan Qin, Xiangyun Hu, Puzuo Wang, Jie Shan, Yijing Li

IEEE Geosci. Remote. Sens. Lett., 2020

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways.

Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020